Evidence map›Paper›PMID 36420177›Full record

ReviewChronic diseases and translational medicine2022

Harnessing natural killer cells to develop next-generation cellular immunotherapy.

Siyao Liu, Kaycee Nguyen, Dongyong Park, Nelson Wong, Anson Wang, Yubin Zhou

Abstract readReview
In one paragraph

Review in Chronic diseases and translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Siyao LiuCenter for Translational Cancer Research, Institute of Biosciences and Technology Texas A&M University Houston Texas USA.
Kaycee NguyenCenter for Translational Cancer Research, Institute of Biosciences and Technology Texas A&M University Houston Texas USA.
Dongyong ParkCenter for Translational Cancer Research, Institute of Biosciences and Technology Texas A&M University Houston Texas USA.
Nelson WongCenter for Translational Cancer Research, Institute of Biosciences and Technology Texas A&M University Houston Texas USA.
Anson WangCenter for Translational Cancer Research, Institute of Biosciences and Technology Texas A&M University Houston Texas USA.
Yubin ZhouCenter for Translational Cancer Research, Institute of Biosciences and Technology Texas A&M University Houston Texas USA.ORCID 0000-0001-7962-0517

Funding

NanoOptogenetic immunotherapy for B cell lymphomaR01CA232017 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HAN, GANG, ZHOU, YUBIN · 2019 to 2023
$2.2M
NCI NIH HHS R01 CA232017
6 · The paper itself

Abstract

Cellular immunotherapy harnesses the body's own immune system to fight cancer by using engineered T cells, macrophages, or natural killer (NK) cells. Compared to chimeric antigen receptor T (CAR-T) cells that are commonly used to treat hematological malignancies, CAR-NK cells have shown remarkable therapeutic effectiveness while exhibiting enhanced safety, reduced risk of graft-versus-host disease, fewer side effects, and amplified antitumor efficacy. Preclinical trials have unveiled the high potential of adoptive CAR-NK cell therapy to curtail or even eliminate both hematological malignancies and solid tumors in animal models. We brought forth herein the design principle of CAR-NK cells, highlighted the latest progress in the preclinical testing and clinical trials of CAR-NK cells, briefly delved into discussed major roadblocks in CAR-NK therapy, and discussed potential solutions to surmount these challenges. Given the accelerated progress in both basic and translational studies on immune cell engineering, CAR-NK cell therapy promises to become a serious contender and important addition to the next-generation cell-based immunotherapy.

Indexed as

cancerCAR‐NK immunotherapychimeric antigen receptor (CAR)natural killer (NK) cells

Identifiers

PMID36420177
PMCPMC9676120

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.